The Work OS for AI-Native Organizations
Enterprise AI that doesn't just answer questions — it does work. One platform. Complete context. Every workflow.
Your AI is blind. Here's why.
Enterprise AI fails not because models are weak — but because they can't see your organization.
Context is Fragmented
Knowledge lives across Slack, Jira, Notion, Gmail, Drive, and people's heads. Your AI only sees a sliver.
Process Knowledge is Lost
How work actually gets done — the judgment calls, the "ask Sarah" moments — none of it is captured for AI.
Dozens of Disconnected Copilots
Every SaaS tool has its own AI. None of them talk to each other. No cross-functional reasoning.
AI is Only for Builders
Engineers can wire up agents. Everyone else — ops, finance, HR, legal — can't use AI to get work done.
Why bolt-on AI will never work
Adding AI to legacy tools is like adding the Internet to Lotus Notes. It produces widgets, not Gmail.
What exists today
- Each tool adds AI as a feature layer on top of legacy data models
- AI can search one tool at a time — no cross-functional reasoning
- No unified governance, no audit trail, no token budgets
- Requires engineering effort to connect tools
Recall's approach
- Built from scratch for AI — context is the data model
- Unified graph across every tool — AI sees the full picture
- Governance by design: RBAC, audit trails, token budgets built in
- Connect in 2 clicks — AI starts learning in minutes
AI-native workflows require AI-native design, not retrofitted ones.
One platform. Complete context. AI that works.
Your tools feed the unified context graph
Slack, GitHub, Google, Jira, Notion — two clicks each. Context starts flowing immediately.
AI builds a living knowledge graph
People, documents, tasks, decisions, relationships — all interconnected. Permission-aware from day one.
AI executes work across every connected tool
Create tickets, send messages, draft documents, update statuses — with full accountability.
Automate cross-team workflows. Get real-time visibility without status meetings. Let AI handle the coordination.
Based on recent activity, Sarah Chen has the most context:
- • Updated the billing SOP in Notion (3 days ago)
- • Resolved 4 billing exception tickets in Jira this sprint
- • Active in #billing-edge-cases Slack channel
Your Enterprise AI that Actually Knows Your Business
Not a chatbot with a knowledge base. An AI teammate with full context across every tool your organization uses.
Ask anything — get answers with sources
Every response cites its sources with links back to the original tool.
Build AI workflows visually — no code
Drag-and-drop canvas for non-technical users. Triggers, conditions, AI steps, actions.
Share skills across teams
Encode what works as reusable AI skills. Propagate from one team to another.
Deploy anywhere — Slack, browser, email, API
AI where you already work. Ambient intelligence across every surface.
Your AI That Takes Ownership
Shift from doing to deciding. Pilot handles the execution — you stay in control. Responsible and Accountable goes to AI. You're Consulted and Informed.
Surfaces what needs your attention — with recommendations
Pilot scans your tools, identifies actionable items, and proposes what to do.
Executes approved actions across tools
Email, calendar, tickets, docs — one click to approve, Pilot handles the rest.
Learns your preferences — gets better every week
Approval rate climbs as Pilot calibrates to your judgment and style.
Full accountability — every action is reversible
Complete audit trail with reasoning. Undo any action within the reversal window.
DELEGATION INBOX
3 pendingDecline meeting: "Q2 Budget Review Sync"
Conflicts with deep work block. No action items for you in agenda.
Reply to Sarah's email re: billing exception
Draft based on your previous responses and the updated SOP.
Update JIRA-1234 status to "In Review"
PR #89 was merged 2 hours ago. Linked ticket still says "In Progress".
Work Management, Rebuilt for AI
Not another Jira with AI sprinkled on top. Tasks are living entities — AI populates context, detects blockers, updates progress, and completes work autonomously.
Context Complete
Every task carries its full history: conversations, decisions, documents. No more "check Slack for the decision."
AI as Teammate
Assign work directly to AI. It executes via Ask skills and reports back with results.
Progress Without Meetings
AI-generated status updates. Blockers surfaced automatically. Silent work made visible.
Up and running in minutes, not months
Connect Your Tools
OAuth into Slack, Google, GitHub, Jira, Notion. 2 clicks each. No engineering required.
AI Learns Your Org
Recall indexes your knowledge: docs, messages, tickets, people, relationships. Permission-aware from day one.
Start Asking, Start Building
Chat with Ask. Build workflows. Share skills. AI gets smarter with every interaction.
Delegate with Confidence
Let Pilot handle the routine. You approve, it executes. Full audit trail, always.
Average time to first value: under 10 minutes
Enterprise governance, built in
Not bolted on. Every AI interaction is governed, budgeted, and auditable from day one.
Permission-Aware AI
AI only accesses data the user is authorized to see. Permissions inherited from your source tools — Slack channels, Drive sharing, GitHub repos.
Token Budgets & Cost Control
Set spending limits per team, per user, per workflow. Real-time cost attribution dashboard — no surprise bills.
Complete Audit Trail
Every AI interaction logged: prompt, response, tools used, data accessed, tokens consumed. Export to your SIEM.
Connects to everything your team uses
Two clicks to connect. AI starts learning in minutes. No engineering required.
Day 1 — Deep Integrations
Day 30
Day 60
+1000 more via our open connector framework
All integrations work with self-hosted deployments. Your data never leaves your infrastructure.
AI that works — not just talks
Join the teams building the future of work.
Want a demo? Book a call